Xinlong Wang: h-index, Total Citations, and Citation Map
Xinlong Wang's h-index is 43 (50 i10-index, 20,984+ total citations across 53+ publications) according to Google Scholar as of June 2026. Xinlong Wang is affiliated with Beijing Academy of Artificial Intelligence.
Xinlong Wang is a researcher affiliated with Beijing Academy of Artificial Intelligence, specializing in various fields. Their work has been cited 20,984 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Xinlong Wang's Citation Metrics
Bibliometric impact based on 53 indexed publications.
- H-Index
- 43
- i10-Index
- 50
- Total Citations
- 20,984
- Citing Countries
- 52
As of June 2026.
Xinlong Wang has an h-index of 43 and 20,984 total citations across 53 publications, with research cited by institutions in 52 countries.
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We've mapped 5,000 of 20,984 citations for Xinlong Wang
We've shown the most-cited 5,000. Unlock the full crawl (19,343 more citations) to see every institution citing this scholar.
Global Impact Map
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Vision mamba: Efficient visual representation learning with bidirectional state space model
20243,594
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
6 citing papers could not be classified (no author data) — excluded from the percentages above.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Xinlong Wang's research
Xinlong Wang is a researcher at Beijing Academy of Artificial Intelligence. Their work has been cited 20,984 times across 53 publications (h-index 43), according to Google Scholar.
Their most-cited work, “Vision mamba: Efficient visual representation learning with bidirectional state space model” (2024), has accumulated 3,594 citations. Other influential works include “SOLOv2: Dynamic and fast instance segmentation” (2020) with 1,570 citations and “Conditional Positional Encodings for Vision Transformers” (2021) with 1,242 citations.
Citations of Xinlong Wang's research come primarily from China, United States and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.











